metadata
title: Qwen API
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
app_file: app.py
pinned: false
license: apache-2.0
tags:
- qwen
- uncensored
- llama-cpp
- gguf
suggested_hardware: a10g-small
Qwen3.5-9B Uncensored API Interface
API interface for HauhauCS/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive.
Features
- 9B parameters with 262K context window
- Fully uncensored (0/465 refusals)
- Multimodal capable (text, image, video)
- Supports 201 languages
- Q4_K_M quantization via llama.cpp
API Usage
Python
from gradio_client import Client
client = Client("Ngixdev/qwen-api")
result = client.predict(
prompt="Your question here",
system_prompt="You are a helpful assistant",
temperature=0.7,
top_p=0.8,
max_tokens=1024,
api_name="/api_generate"
)
print(result)
cURL
curl -X POST https://ngixdev-qwen-api.hf.space/api/api_generate \
-H "Content-Type: application/json" \
-d '{
"data": [
"Your question here",
"You are a helpful assistant",
0.7,
0.8,
1024
]
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| prompt | string | required | User prompt/question |
| system_prompt | string | "" | System instruction |
| temperature | float | 0.7 | Sampling temperature (0.0-2.0) |
| top_p | float | 0.8 | Nucleus sampling (0.0-1.0) |
| max_tokens | int | 1024 | Maximum tokens to generate |